Gartner-商务智能BI厂商评测XXXX

ResearchPublicationDate:29January2010IDNumber:G00173700©2010Gartner,Inc.and/oritsAffiliates.AllRightsReserved.Reproductionanddistributionofthispublicationinanyformwithoutpriorwrittenpermissionisforbidden.Theinformationcontainedhereinhasbeenobtainedfromsourcesbelievedtobereliable.Gartnerdisclaimsallwarrantiesastotheaccuracy,completenessoradequacyofsuchinformation.AlthoughGartner'sresearchmaydiscusslegalissuesrelatedtotheinformationtechnologybusiness,Gartnerdoesnotprovidelegaladviceorservicesanditsresearchshouldnotbeconstruedorusedassuch.Gartnershallhavenoliabilityforerrors,omissionsorinadequaciesintheinformationcontainedhereinorforinterpretationsthereof.Theopinionsexpressedhereinaresubjecttochangewithoutnotice.MagicQuadrantforBusinessIntelligencePlatformsRitaL.Sallam,BillHostmann,JamesRichardson,AndreasBittererIn2009,megavendorsheldalmosttwo-thirdsofbusinessintelligenceplatformmarketshare.Butimpatientbusinessusersincreasinglyturnedtopure-playBIplatforms,particularlythoseofsmallinnovativevendors,tofillusabilityandtime-to-valueneedsunmetbythelargervendors.PublicationDate:29January2010/IDNumber:G00173700Page2of37©2010Gartner,Inc.and/oritsAffiliates.AllRightsReserved.WHATYOUNEEDTOKNOWThisdocumentpresentsaglobalviewofGartner'sopinionofthemainsoftwarevendorsthatshouldbeconsideredbyorganizationsseekingtodevelopbusinessintelligence(BI)applications.BuyersshouldevaluatevendorsinallfourquadrantsandnotassumethatonlyhighlyratedorganizationscandeliversuccessfulBIimplementations.Year-to-yearcomparisonsofvendorpositionsarenotparticularlyusefulgivenmarketdynamics(suchasemergingcompetitors,newproductroadmaps,newbuyingcenters)andclientconcerns/inquirieshavechangedsinceourlastMagicQuadrant.Therefore,wehaveevaluatedvendorsbasedonthesenewmarketdynamicsandhavereflectedthechangesinourMagicQuadrantcriteriaevaluationweightsfor2010.ForfurtherguidanceontheMagicQuadrantevaluationprocessandonhowtouseaMagicQuadrant,seeMagicQuadrantsandMarketScopes:HowGartnerEvaluatesVendorsWithinaMarket.MAGICQUADRANTFigure1.MagicQuadrantforBusinessIntelligencePlatformsSource:Gartner(January2010)MarketOverviewThemarketin2009wasdefinedbytheDavidandGoliathianstrugglethatoccurredbetweenresilientBIpure-playvendorsandostensiblyomnipotentmegavendors.ThefrenzycausedbymajorBIplatformmarketconsolidationin2007and2008gavewaytoapostacquisitionhangoverin2009inwhichmegavendors'customersreportedgreateroveralldissatisfactiondue,inlargePublicationDate:29January2010/IDNumber:G00173700Page3of37©2010Gartner,Inc.and/oritsAffiliates.AllRightsReserved.part,totheoftenmessypostacquisitiondigestionprocess.Yet,despitemegavendoracquisitiongrowingpains,stack-centricbuyingledbyapplicationsandinformationinfrastructuredominatedBIplatforminvestmentdecisionsin2009withthetopfivevendorscontrolling75%ofthemarket(seeMarketShare:BusinessIntelligence,AnalyticsandPerformanceManagementSoftware,Worldwide,2008).Atthesametime,however,basedontheresearchconductedforthisreportandinteractionswithGartnercustomersovertheyear,thereissignificant,ifnoteuphoric,satisfactionwith,andacceleratedinterestin,pure-playBIplatforms.Thisisparticularlytrueforsmaller,innovativevendorsfillingneedsleftunmetbythelargervendors.Tounderstandthisparadox,itisnecessarytoconsideranumberoffactorsthataredrivingtheBIplatformbuyingdecisiontoday:1.GrowingbifurcationofstackversusdepartmentalBIbuying.MarketbifurcationcontinuestowardstrategicIT-ledstack-centricbuyingbasedondominantapplicationsorinformationinfrastructurestacksontheonehand,andbusinessanddepartmentbuyingontheotherhand.Pressuredbyneweconomicrealitiesandtheneedtoquicklydemonstratebusinessvalue,businessusers—oftenwithanenterpriseBIstandardinplace—areincreasinglyturningtoinnovative,pure-playvendorsofferinghighlyinteractiveandgraphicaluserinterfacesbuiltonalternativein-memoryarchitecturestoaddresstheirunmetease-of-useandrapiddeploymentneeds.Theperceivedbenefitissocompellingthatbusinessusersaremakingthischoice,despitetheriskofcreatingfragmentedsilosofapplicationsandtools.2.Lastyear'sVisionariesbecomethisyear'sChallengers.Drivenlargelybybusinessuserbuying,thedatadiscoverytoolarchitecture(seeTheRiseofDataDiscoveryTools)pioneeredbylastyear'sVisionaries(forexample,QlikTech[QlikView]andTibcoSoftware[Spotfire])andnewMagicQuadrantentrantTableauisnowbecomingmuchmoreacceptedintheindustry.Organizationsarerapidlyembracingtheideaofprovidingdatatoendusersandempoweringthemwithanabilitytonavigateandvisualizethedatainasurfandsavemodeasanalternativetoareport-onlyarchitecture.Threatenedbythesuccessofthesevendors(andaddingtotheircredibility),traditionalBIplatformvendorsareattemptingtoimitatethemwitheasy-to-useinteractivevisualizationalternatives(forexample,MicrosoftwithPowerPivot,SAPwithSAPBusinessObjectsExplorer,IBMwithIBMCognosExpress,andInformationBuilderswithWebFocusVisualDiscovery)oftenincorporatingin-memorytechnology.Thisimitation,coupledwithagrowingrecognitionbyuserorganizationsthatdatadiscoverytoolscanbeusedasfull-functionedBIplatformsforabroaderrangeofBIplatformcapabilitiesandusecases(beyond